avalanche.evaluation.metric_definitions.GenericPluginMetric
- class avalanche.evaluation.metric_definitions.GenericPluginMetric(metric: TMetric, reset_at: Literal['iteration', 'epoch', 'experience', 'stream', 'never'] = 'experience', emit_at: Literal['iteration', 'epoch', 'experience', 'stream'] = 'experience', mode: Literal['train'] = 'train')[source]
- class avalanche.evaluation.metric_definitions.GenericPluginMetric(metric: TMetric, reset_at: Literal['iteration', 'experience', 'stream', 'never'] = 'experience', emit_at: Literal['iteration', 'experience', 'stream'] = 'experience', mode: Literal['eval'] = 'eval')
This class provides a generic implementation of a Plugin Metric. The user can subclass this class to easily implement custom plugin metrics.
- __init__(metric: TMetric, reset_at: Literal['iteration', 'epoch', 'experience', 'stream', 'never'] = 'experience', emit_at: Literal['iteration', 'epoch', 'experience', 'stream'] = 'experience', mode: Literal['train'] = 'train')[source]
- __init__(metric: TMetric, reset_at: Literal['iteration', 'experience', 'stream', 'never'] = 'experience', emit_at: Literal['iteration', 'experience', 'stream'] = 'experience', mode: Literal['eval'] = 'eval')
Creates an instance of a plugin metric.
Child classes can safely invoke this (super) constructor as the first experience.
Methods
__init__
()Creates an instance of a plugin metric.
after_backward
(strategy)after_eval
(strategy)after_eval_dataset_adaptation
(strategy)after_eval_exp
(strategy)after_eval_forward
(strategy)after_eval_iteration
(strategy)after_forward
(strategy)after_train_dataset_adaptation
(strategy)after_training
(strategy)after_training_epoch
(strategy)after_training_exp
(strategy)after_training_iteration
(strategy)after_update
(strategy)before_backward
(strategy)before_eval
(strategy)before_eval_dataset_adaptation
(strategy)before_eval_exp
(strategy)before_eval_forward
(strategy)before_eval_iteration
(strategy)before_forward
(strategy)before_train_dataset_adaptation
(strategy)before_training
(strategy)before_training_epoch
(strategy)before_training_exp
(strategy)before_training_iteration
(strategy)before_update
(strategy)reset
()Resets the metric internal state.
result
()Obtains the value of the metric.
update
(strategy)